facebook pixel

Join Pune's Top Data Science Classes Today- 100% Placement Guarantee!

Build your "Data Science with AI" career in Pune with our guaranteed job placement program!

  • Earn a recognized Data Science certification
  • Learn AI, ML, Python, SQL, Deep Learning, Frameworks, Statistics
  • Work on industry-based Live Projects
google reviews

700+ Reviews

justdial reviews

380+ Reviews

  • 3-6 MonthsCourse
  • FlexibleTimings
  • Real TimeProjects
  • 10+ LearningTools
  • 2000+ StudentsPlaced
  • 30LPA(Highest Salary)
  • 350+ HiringPartners

Our Alumini works at

  • Image 1
  • Image 2
  • Image 3
  • Image 4
  • Image 5
  • Image 6
  • Image 7
  • Image 8
  • Image 9
  • Image 10
  • Image 11
  • Image 12
  • Image 13
  • Image 14
  • Image 15
  • Image 16
  • Image 17
  • Image 18
  • Image 19
  • Image 20

Our Placement Process

1

Eligibility Criteria

2

Placement Training

3

Personal Branding

4

Interview Q&A

5

Resume Building

6

Mock Interviews

7

Interview Scheduling

8

Job Placement

Key Highlights of our Data Science and Artificial Intelligence Course

100% Job Assurance (Unlimited Interview Calls)

Practical Based Learning Module

Data Science Certification Program

Weekly/Weekend Flexible Batches

Expert Mentorship and 24/7 Support

Career Guidance and Personalized Resume Building Assistance

Data Science Curriculum

Foundation

Establish a strong foundation with core principles and fundamental knowledge.

Basic Programming for Data Science
Foundation

This course module introduces learners to basic programming concepts, including variables, data types, control structures, and functions. It covers topics such as data types, variables, operators, loops, conditionals, and functions, along with practical programming examples and exercises.

What will you achieve?

  • Understanding of basic programming concepts
  • Familiarity with various programming languages
  • Practical programming skills

Topics

  • Variables
  • Data Types
  • Operators
  • Control Structures
  • Functions
  • Loops
  • Conditionals
  • Recursion
  • Input/Output
  • Error Handling

Core Track

Python Programming
Core Track

The course module immerses learners in Python programming, guiding them through the use of various Python data science libraries to perform critical tasks such as mathematical computations and data manipulation. Additionally, it covers data visualization techniques using Python.

What will you achieve?

  • Proficiency in Python Programming
  • Mastery of Data Science Libraries
  • Practical Data Analysis Skills

Topics

  • Python Introduction
  • Control Structures
  • Functions
  • Working with Strings
  • Object Oriented Programming (OOPS)
  • Modules and Packages
  • File Handling
  • Error and Exception Handling
  • Working with Libraries (NumPy, pandas, Matplotlib etc)
  • Data Visualization
SQL
Core Track

This module introduces learners to SQL programming, covering essential techniques for querying databases and creating datasets for data analysis. You will learn how to write efficient SQL queries, manipulate data, and prepare it for comprehensive analysis. By the end of this course, you will have the skills to interact with databases and perform data extraction and transformation tasks proficiently.

What will you achieve?

  • Proficiency in writing SQL queries.
  • Ability to retrieve and manipulate data from databases.
  • Skills to create and manage datasets for analysis.
  • Understanding of data extraction and transformation techniques.

Topics

  • Introduction to SQL and databases
  • Writing basic SQL queries
  • Filtering and sorting data
  • Joining tables and combining data
  • Aggregating data with GROUP BY and HAVING
  • Subqueries and nested queries
  • Data manipulation with INSERT, UPDATE, and DELETE
  • Creating and managing tables and schemas
  • Optimizing queries for performance
Machine Learning
Core Track

This module offers a comprehensive introduction to machine learning, detailing how various algorithms function and their applications. You will explore model optimization and tuning techniques, gaining insights into how organizations leverage machine learning to address challenges and drive growth.

What will you achieve?

  • Understand key machine learning algorithms.
  • Optimize and tune models.
  • Learn how ML is used in real-world business applications.
  • Evaluate and improve model performance.

Topics

  • Introduction to machine learning
  • Overview of key ML algorithms
  • Model optimization techniques
  • Hyperparameter tuning
  • Evaluating model performance
  • Real-world ML applications
  • Case studies of ML in business
Statistics
Core Track

This module introduces learners to the fundamentals of statistics, focusing on how to review, analyze, and interpret data effectively. You will apply mathematical models to relevant variables, enhancing your ability to draw meaningful conclusions and conduct robust data analysis.

What will you achieve?

  • Grasp essential statistical concepts.
  • Analyze and interpret data effectively.
  • Apply mathematical models for accurate data analysis.
  • Draw actionable insights from data.

Topics

  • Introduction to statistics for data science
  • Random Variables
  • Descriptive Statistics
  • Measure of Central Tendency
  • Probability concepts and distributions
  • Standard Deviation
  • Regression analysis and correlation
  • Bias variance trade-off

Our Placed Students

  • std-1
  • std-2
  • std-3
  • std-4
  • std-5
  • std-6
  • std-7
  • std-8
  • std-9
  • std-10
  • std-11
  • std-12
  • std-13
  • std-14
  • std-15
  • std-16
  • std-17
  • std-18
  • std-19
  • std-20
  • std-21
  • std-22
  • std-23
  • std-24
  • std-25
  • std-26
  • std-27
  • std-28
  • std-29
  • std-30
  • std-31
  • std-32
  • std-33
  • std-34
  • std-35
  • std-36
  • std-37
  • std-38

Our Gallery

img-1
img-2
img-3
img-4
img-5
img-7
img-8
img-11
img-12

Let's talk about everything!

profile